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Proceedings Paper

A human-centric approach in geospatial data fusion for real-time remotely controlled robotic platforms
Author(s): Eugene Levin; Gennady Gienko; Alex Sergeyev
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Paper Abstract

Many modern technologies widely deploy semi-autonomous robotic platforms, remotely controlled by a human operator. Such tasks usually require rapid fusion of multisensor imagery and auxiliary geospatial data. Operational-control units in particular can be considered as displays of the decision-support systems, and the complexity of automated multi-domain geospatial data fusion leads to human-in-the loop technology which widely deploys visual analytics. While a number of research studies have investigated eye movements and attention on casual scenes, there has been a lack of investigations concerning the expert's eye movements and visual attention, specifically when an operator is engaged in real-time visual data fusion to control and maneuver a remote unmanned robotic vehicle which acquires visual data using CCTV cameras in visible, IR or other spectral zones, and transmits this data through telemetric channels to a human operator. In this paper we investigate the applicability of eye-tracking technology for the numerical assessment of efficiency of an operator in fusion of multi-sensor and multi-geometry visual data in real-time robotic control tasks.

Paper Details

Date Published: 15 April 2008
PDF: 6 pages
Proc. SPIE 6983, Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display, 69830A (15 April 2008); doi: 10.1117/12.769306
Show Author Affiliations
Eugene Levin, Michigan Technological Univ. (United States)
Gennady Gienko, The Univ. of the South Pacific (Fiji)
Alex Sergeyev, Michigan Technological Univ. (United States)


Published in SPIE Proceedings Vol. 6983:
Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display
Moon S. Kim; Kaunglin Chao; William J. Tolone; William Ribarsky; Sergey I. Balandin; Bahram Javidi; Shu-I Tu, Editor(s)

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